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Record W2109240095 · doi:10.1148/rg.294085737

Müllerian Duct Anomalies and Mimics in Children and Adolescents: Correlative Intraoperative Assessment with Clinical Imaging

2009· review· en· W2109240095 on OpenAlexaff
Beatriz L. P. Junqueira, Lisa Allen, Rachel F. Spitzer, Kerith L. Lucco, Paul Babyn, Andréa S. Doria

Bibliographic record

VenueRadiographics · 2009
Typereview
Languageen
FieldMedicine
TopicGynecological conditions and treatments
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineMullerian DuctsAsymptomaticMagnetic resonance imagingInfertilityRadiologyMüllerian mimicryDuct (anatomy)GynecologySurgeryUterusPathologyPregnancyInternal medicine

Abstract

fetched live from OpenAlex

Müllerian duct anomalies (MDAs) are congenital entities that result from nondevelopment, defective vertical or lateral fusion, or resorption failure of the müllerian (paramesonephric) ducts. MDAs are common, although the majority are asymptomatic, and have been classified by the American Society of Reproductive Medicine according to clinical manifestations, prognosis, and treatment. Accurate diagnosis of an MDA is essential, since the management approach varies depending on the type of malformation. In females, when a müllerian duct becomes obstructed, the patient may present with an abdominal mass and dysmenorrhea. If the patient is not treated in a timely fashion, the consequences can be severe, extending even to infertility. When an MDA is suspected, ultrasonography (US) should be performed initially to delineate any abnormalities in the genital tract. However, US cannot help identify the type of MDA. In contrast, magnetic resonance imaging is a valuable technique for noninvasive evaluation of the female pelvic anatomy and accurate MDA classification. If obstruction is present, surgical correction of the MDA may be required, and further counseling of the patient with regard to reproductive possibilities becomes important. Supplemental material available at http://radiographics.rsnajnls.org/cgi/content/full/29/4/1085/DC1.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.327
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.369
Teacher spread0.345 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations115
Published2009
Admission routes1
Has abstractyes

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